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Engineering Algorithms for Large Network Applications [chapter]

Christos Zaroliagis
2008 Encyclopedia of Algorithms  
Engineering Algorithms for Large Network Applications E 273 Depending on the pre-computed additional information as well as on the way a shortest path query is answered, two approaches can be distinguished  ...  for digraphs with more than 10 5 vertices makes such an approach prohibitive for large and very large networks.  ... 
doi:10.1007/978-0-387-30162-4_125 fatcat:n6q7opnewzgoxcns73ta37ipqq

Comparing association network algorithms for reverse engineering of large-scale gene regulatory networks: synthetic versus real data

Nicola Soranzo, Ginestra Bianconi, Claudio Altafini
2007 Computer applications in the biosciences : CABIOS  
The predictive power of all algorithms is confirmed on a reverse engineering problem from Escherichia coli gene profiling data: the edges of the 'physical' network of transcription factor-binding sites  ...  Results: In our simulations we see that all network inference algorithms obtain better performances from data produced with 'structural' perturbations, like gene knockouts at steady state, than with any  ...  Since we miss a realistic large-scale model of a gene regulatory network, it is not even clear how to fairly evaluate and compare these different methods for reverse engineering.  ... 
doi:10.1093/bioinformatics/btm163 pmid:17485431 fatcat:hf7miuiwfnfp3mwpuytpflbjg4

Page 1205 of American Society of Civil Engineers. Collected Journals Vol. 121, Issue ST8 [page]

1995 American Society of Civil Engineers. Collected Journals  
The back-propagation algorithm, however, has a slow rate of learning and is therefore impractical for learning of complicated problems requiring large networks.  ...  They also provide a structured framework for developing practical neural network applications. The back-propagation algorithm, however, has a slow rate of learning.  ... 

Dynamics of Neural Networks and Applications in Optimization

Huaiqin Wu, Wei Bian, Qintao Gan, Ramachandran Raja
2014 Mathematical Problems in Engineering  
In practical engineering applications, it is crucial to completely characterize the dynamical properties of neural networks via mathematical methods.  ...  The neural network approach has become an important means to provide real-time solutions to some optimization problems, especially for large-scale problems.  ...  Acknowledgments We would like to thank the authors who submitted papers for consideration and the reviewers whose comments are important for us to make the decisions.  ... 
doi:10.1155/2014/787102 fatcat:zk365aptcffdpasjb46hocqqwa

Traffic-based Load Balance for Scalable Network Emulation

Xin Liu, Andrew A. Chien
2003 Proceedings of the 2003 ACM/IEEE conference on Supercomputing - SC '03  
Load balance is critical to achieving scalability for large network emulation studies, which are of compelling interest for emerging Grid, Peer to Peer, and other distributed applications and middleware  ...  Using a large-scale network emulation system called MaSSF, we explore three approaches for partitioning, based on purely static topology information (TOP), combining topology and application placement  ...  The MicroGrid: a Scientific Tool for Modeling Computational Grids.  ... 
doi:10.1145/1048935.1050190 dblp:conf/sc/LiuC03 fatcat:dpeiexrh55g5vbg6vfpoufaerm

iOverlay: A Lightweight Middleware Infrastructure for Overlay Application Implementations [chapter]

Baochun Li, Jiang Guo, Mea Wang
2004 Lecture Notes in Computer Science  
The very nature of implementing and evaluating fully distributed algorithms or protocols in application-layer overlay networks involves certain programming tasks that are at best mundane and tedious -and  ...  These include multi-threaded message switching engines at the application layer, failure detections and reactions, measurements of QoS metrics such as loss rates and per-link throughput, application deployment  ...  The ultimate objective is for the application developer to build new algorithms based on the engine, and to select an application to be deployed on top of the algorithm.  ... 
doi:10.1007/978-3-540-30229-2_8 fatcat:b5q32loz6zduvb2lytfkerxngi

InterPSS: A New Generation Power System Simulation Engine [article]

Mike Zhou, Qiuhua Huang
2017 arXiv   pre-print
These advanced applications show that the open architecture combined with the comprehensive modeling and simulation capabilities make InterPSS a very attractive option for the research and the future new  ...  power system simulation application development.  ...  Using a real-world large-scale online power network model (40K+ buses) as a test case, the total computation time for a complete N-1 CA of the power network could be achieved in less than 2 seconds with  ... 
arXiv:1711.10875v1 fatcat:4r7kvsrlmzfo3ig7vcadebz7n4

Feature-Based Deep Learning Classification for Pipeline Component Extraction from 3D Point Clouds

Zhao Xu, Rui Kang, Heng Li
2022 Buildings  
Although scholars have proposed a variety of ways to achieve the use of deep learning to classify point clouds, there are few practical engineering applications in the construction industry.  ...  This paper proposes a novel method for construction component classification by designing a feature-based deep learning network to tackle the automation problem in construction digitization.  ...  However, the currently proposed algorithms experiment with repetitive and limited datasets, which leads to difficulties for actual applications in engineering practice, with even fewer applications in  ... 
doi:10.3390/buildings12070968 fatcat:2ozfamsgpvgahnod2iz4shtq4m

Adaptive Provisioning of Stream Processing Systems in the Cloud

Javier Cervino, Evangelia Kalyvianaki, Joaquin Salvachua, Peter Pietzuch
2012 2012 IEEE 28th International Conference on Data Engineering Workshops  
With the advent of data-intensive applications that generate large volumes of real-time data, distributed stream processing systems (DSPS) become increasingly important in domains such as social networking  ...  Based on these results, we propose an algorithm for VM provisioning for DSPSs that reacts to changes in the stream workload.  ...  ACKNOWLEDGEMENTS This work was supported by grant EP/F035217/1 ("DISSP: Dependable Internet-Scale Stream Processing") from the UK Engineering and Physical Sciences Research Council (EP-SRC).  ... 
doi:10.1109/icdew.2012.40 dblp:conf/icde/CervinoKSP12 fatcat:uvi3k7rfqrflbhul54c3lept4y

Page 205 of American Society of Civil Engineers. Collected Journals Vol. 126, Issue 3 [page]

2000 American Society of Civil Engineers. Collected Journals  
“‘Neural networks in optimal calibration of water distribution systems.” Artificial neural networks for civil engineers: Advanced features and applications, 1. Flood and N.  ...  “Parallel genetic algo- rithms in a networked workstation environment.” Applications of high performance computing in engineering, Santiago de Compostela, Spain. Ormsbee, L. E., Chase, D.  ... 

Data Fusion in Sensor Networks

Hugh Durrant-Whyte
2006 2006 IEEE International Conference on Video and Signal Based Surveillance  
The big challenge now is to develop effective methods for the automatic fusion and interpretation of the information generated by large-scale sensor networks.  ...  There is a growing excitement about the potential application of large scale sensor networks in diverse applications such as precision agriculture, geophysical and environment monitoring, remote health  ...  Over a number of years, we have used such methods to develop decentralised algorithms for point-target estimation in sensor networks.  ... 
doi:10.1109/avss.2006.39 dblp:conf/avss/Durrant-Whyte06 fatcat:trjlbiqdajh7zkqouaifz7uzpq

Ant Colony Optimization in Different Engineering Applications: An Overview

R. Geetha, G. Umarani Srikanth
2012 International Journal of Computer Applications  
ACO algorithms have long been thought as generating high quality solutions for various problems in different Engineering Applications.  ...  This survey provides an overview of past and on-going research of ACO in diverse engineering applications pertaining to computer science fields such as mobile and wireless networks,  ...  Network analysis provides an effective practical system for planning and controlling large projects in construction and many other fields.  ... 
doi:10.5120/7720-1091 fatcat:lbdc6eu4sjfqhnqd26futog7c4

Workshop on Software Engineering for Large Scale Computing (SELSC) [chapter]

Daniel Rodríguez, Roberto Ruiz
2008 Lecture Notes in Computer Science  
Examples of computational techniques applied to Software Engineering include genetic algorithms, Bayesian networks, system dynamics, visualization, search based software engineering etc.  ...  • Testing of computational applications • Computational intelligence techniques applied to software engineering • Mining software engineering repositories • Management issues for handling large amount  ...  large scale applications and using computational science for helping with software engineering issues.  ... 
doi:10.1007/978-3-540-69389-5_33 fatcat:4dzkwn4ukjdrropv4pft4lwqrq

Engineering Algorithms for Large Data Sets [chapter]

Peter Sanders
2013 Lecture Notes in Computer Science  
For many applications, the data sets to be processed grow much faster than can be handled with the traditionally available algorithms.  ...  This paper outlines the general challenges and gives examples from my work like sorting, full text indexing, graph algorithms, and database engines.  ...  Partially supported by Helmholtz project Large-Scale Data Management and Analysis (LSDMA). We also would like to thank the DFG for several funding sources.  ... 
doi:10.1007/978-3-642-35843-2_3 fatcat:pzlq4scprraejgn2rvelilpe7a

Feasibility of Artificial Neural Network in Civil Engineering

Vikash Singh, Samreen Bano, Anand Kumar Yadav | Dr. Sabih Ahmad
2019 International Journal of Trend in Scientific Research and Development  
Researches reveals that the method is realistic and it will be fascinated for more civil engineering applications.  ...  The using of artificial neural network in civil engineering is getting more and more credit all over the world in last decades.  ...  Since then, a large number of articles have been published on civil engineering applications of neural networks.  ... 
doi:10.31142/ijtsrd22985 fatcat:zju5hb3idbdnxl4icqk52isbwi
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